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Information-based ranking of 10 compartment models of diffusion-weighted signal attenuation in fixed prostate tissue

Liang, S; Panagiotaki, E; Bongers, A; Shi, P; Sved, P; Watson, G; Bourne, R; (2016) Information-based ranking of 10 compartment models of diffusion-weighted signal attenuation in fixed prostate tissue. NMR Biomedicine , 29 (5) pp. 660-671. 10.1002/nbm.3510. Green open access

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Abstract

This study compares the theoretical information content of single- and multi-compartment models of diffusion-weighted signal attenuation in prostate tissue. Diffusion-weighted imaging (DWI) was performed at 9.4 T with multiple diffusion times and an extended range of b values in four whole formalin-fixed prostates. Ten models, including different combinations of isotropic, anisotropic and restricted components, were tested. Models were ranked using the Akaike information criterion. In all four prostates, two-component models, comprising an anisotropic Gaussian component and an isotropic restricted component, ranked highest in the majority of voxels. Single-component models, whether isotropic (apparent diffusion coefficient, ADC) or anisotropic (diffusion tensor imaging, DTI), consistently ranked lower than multi-component models. Model ranking trends were independent of voxel size and maximum b value in the range tested (1.6-16 mm(3) and 3000-10 000 s/mm(2) ). This study characterizes the two major water components previously identified by biexponential models and shows that models incorporating both anisotropic and restricted components provide more information-rich descriptions of DWI signals in prostate tissue than single- or multi-component anisotropic models and models that do not account for restricted diffusion.

Type: Article
Title: Information-based ranking of 10 compartment models of diffusion-weighted signal attenuation in fixed prostate tissue
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/nbm.3510
Publisher version: http://dx.doi.org/10.1002/nbm.3510
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Compartment models, diffusion, microstructure imaging, modeling, prostate, restricted diffusion
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/1481986
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